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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20210916T132454Z
LOCATION:Mère Royaume
DTSTART;TZID=Europe/Stockholm:20210708T183000
DTEND;TZID=Europe/Stockholm:20210708T190000
UID:submissions.pasc-conference.org_PASC21_sess200_msa361@linklings.com
SUMMARY:Performance and Accuracy of a Distributed, GPU-Enabled Sparse Dire
 ct Solver with Lower Precision Factorization
DESCRIPTION:Minisymposium\n\nPerformance and Accuracy of a Distributed, GP
 U-Enabled Sparse Direct Solver with Lower Precision Factorization\n\nLi\n\
 nAn active research area in numerical computation is to exploit lower prec
 ision for expensive calculations to obtain higher performance, while achie
 ving a higher level of accuracy. Lower precision often leads to faster flo
 ps, less memory and communication. We designed a mixed-precision sparse di
 rect solver based on this concept. In particular, we use lower precision i
 n sparse LU but higher precision in iterative refinements to recover the a
 ccuracy. We will present results on multi-GPU nodes for various sparse mat
 rices.\n\nDomain: CS and Math, Emerging Applications, Physics, Engineering
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